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Building eCommerce & Retail AI with Cake

Cake gives you the power to build commerce AI that learns your customers and understands your products without sending data outside your environment. Deliver personalized shopping experiences at every touchpoint while keeping full control.

 

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Overview

Shoppers expect every interaction to feel personal, seamless, and consistent across thousands of SKUs, campaigns, and channels. Most AI vendors cannot deliver. They produce generic outputs, lock you into rigid workflows, and process your customer data in external systems.

Cake is different. Our platform combines best-in-class open source components such as Weaviate and Milvus for vector search, LiteLLM for intelligent model routing, and MLflow with Ray for scalable training and tracking. Together, these form a production-ready stack that delivers measurable business impact. You get faster deployment than vendor rollouts, lower costs through optimized infrastructure, and complete data control. Everything is orchestrated securely with Argo CD and monitored with tools like Prometheus, Grafana, and OpenCost, so you can build competitive AI advantages without waiting on someone else’s roadmap.

Every workflow runs on your catalog, customer data, and brand voice, ensuring outputs are authentic and measurable. With Cake, you are not renting a black box. You are building lasting AI capabilities inside your business, supported by components such as vLLM for high-performance inference, DSPy for structured prompting, and Evidently with Langfuse for monitoring and traceability.

Key benefits

  • Learn from your complete customer journey: Continuously adapt recommendations across browsing, purchase, and engagement patterns to balance conversion with product discovery.

  • Content that sounds authentically yours: Fine-tune models on your catalogs and campaigns so every description, subject line, and message reflects your real brand voice.

  • Deploy breakthrough AI in weeks, not quarters: Use structured prompting (DSPy) and model routing (LiteLLM) to launch faster, avoid vendor delays, and keep data in your environment.

  • Own your AI advantage and control your costs: Build capabilities that improve over time with monitoring (Evidently) and tracing (Langfuse) to optimize performance and spend.

  • Keep data secure and compliant: Run every workflow inside your environment with SOC 2 and HIPAA-grade controls so customer trust and brand reputation stay protected.

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Increase in
MLOps productivity

 

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Faster model deployment
to production

 

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Annual savings per
LLM project

EXAMPLE USE CASES

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Core eCommerce applications
built with Cake

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Smart product recommendations

Serve personalized product suggestions in real time using vector search to capture browsing patterns, purchase history, and seasonal trends.

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Brand-consistent content at scale

Generate product descriptions, campaigns, and copy that match your catalogs and brand voice while reducing production costs.

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Predictive customer intelligence

Identify purchase intent, churn risk, and lifetime value patterns to trigger timely offers and retention campaigns.

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Email marketing optimization

Automate campaigns with on-brand content, personalized recommendations, and optimized send times for every customer.

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Dynamic pricing & promotions

Adjust prices and offers in real time with models that balance demand signals, competition, and loyalty.

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Intelligent search and discovery

Deliver search results that understand intent and product context, connecting shoppers with the most relevant items.

THE CAKE DIFFERENCE

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Why ecommerce leaders are choosing
Cake over traditional AI vendors

 

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The traditional vendor approach

Fast start, rigid future: Prebuilt AI tools get you moving quickly, but customization and control are limited.

  • Black-box models limit transparency and trust
  • Difficult to customize for your brand or data
  • Data stored and processed in vendor’s cloud
  • Costs scale unpredictably with usage and seats

Result:

Quick initial results, but long-term lock-in and lack of differentiation

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The Cake approach

Composable, customizable, and cloud-agnostic: An open AI stack that delivers fast time-to-value and long-term flexibility.

  • Deploy in hours using pre-integrated, open source components
  • Fine-tune models and logic to reflect your brand and business goals
  • Full control over where your data lives and how it’s used
  • No usage-based markups; run in your own cloud, on your terms

Result:

Rapid deployment with the flexibility to scale on your own terms

SECURITY & COMPLIANCE

Keep customer trust with enterprise-grade compliance

Retail success depends on trust. With Cake, every AI workflow runs inside your environment with SOC 2 Type II and HIPAA certifications in place. That means your customer data stays secure, your compliance team stays confident, and your brand stays protected.

Read More >

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"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

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Scott Stafford
Chief Enterprise Architect at Ping

Read The Case Study
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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

Read the case study
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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

Frequently asked questions

How is this different from vendor AI platforms?

Instead of renting access to shared models that process your data externally, you're building AI capabilities that run entirely in your environment. Better performance, lower long-term costs, and complete control over your competitive intelligence.

Do we need a large machine learning team?

Will the AI maintain our brand voice?

How quickly can we see results?

What about data privacy and compliance?

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